2 months ago
Responsibilities
- Build and operate scalable machine-learning and data systems, simulation workflows, and insight tools for driver evaluation and training
- Advance ultra-realistic autonomous-vehicle simulations using foundation models
- Collaborate with Waymo Oxford and other teams to improve simulation realism with large models
- Design experiments and develop metrics for measuring the realism of simulated worlds
- Train and evaluate large models and integrate them into simulators and downstream applications
- Productionize research ideas and help hire research engineers from diverse backgrounds
Requirements
- 7+ years of experience in applied deep learning
- 7+ years of coding and design experience
- At least 1 year of people-management experience
- Experience solving complex production problems using state-of-the-art machine-learning techniques
- Experience taking research into production
- Expertise in data analysis or data science
Benefits
- Hybrid work arrangement in London, UK
- Eligibility for a discretionary annual bonus program
- Equity incentive plan
- Generous company benefits program
Categories
AI ResearchML Engineering
About Waymo
On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings. Need support? Send us a message – we're here to help.